Commit f1296197 authored by Patrik Huber's avatar Patrik Huber Committed by GitHub

Fixed indentation in README

Apparently GitHub changed their Markdown parsing at some point, had to change from one space to two spaces to create a nested bullet-point list again.
parent 9dc8d4bb
......@@ -16,10 +16,10 @@ At the moment, it mainly provides the following functionality:
* MorphableModel and PcaModel classes to represent 3DMMs, with basic operations like `draw_sample()`
* Our low-resolution, shape-only 3D Morphable Face Model ([share/sfm_shape_3448.bin](https://github.com/patrikhuber/eos/blob/master/share/sfm_shape_3448.bin))
* Fast, linear pose, shape and expression fitting, edge and contour fitting:
* Linear scaled orthographic projection camera pose estimation
* Linear shape-to-landmarks fitting, implementation of O. Aldrian & W. Smith, _Inverse Rendering of Faces with a 3D Morphable Model_, PAMI 2013
* Expression fitting, and 6 linear expression blendshapes: anger, disgust, fear, happiness, sadness, surprise
* Edge-fitting, heavily inspired by: A. Bas et al., _Fitting a 3D Morphable Model to Edges: A Comparison Between Hard and Soft Correspondences_, ACCVW 2016
* Linear scaled orthographic projection camera pose estimation
* Linear shape-to-landmarks fitting, implementation of O. Aldrian & W. Smith, _Inverse Rendering of Faces with a 3D Morphable Model_, PAMI 2013
* Expression fitting, and 6 linear expression blendshapes: anger, disgust, fear, happiness, sadness, surprise
* Edge-fitting, heavily inspired by: A. Bas et al., _Fitting a 3D Morphable Model to Edges: A Comparison Between Hard and Soft Correspondences_, ACCVW 2016
* Isomap texture extraction to obtain a pose-invariant representation of the face texture
* (**New**): Python bindings for parts of the library, and Matlab bindings for the fitting
* (_Experimental_): Non-linear fitting cost functions using Ceres for shape, camera, blendshapes and the colour model (needs Ceres to be installed separately)
......
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